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Urban land use change is one of the key issues in urban planning that has been addressed by researchers in many different aspects, especially from the perspective of space. But the point that has been overlooked in various studies is that the analysis of different aspects of land use change is not limited to classical and spatial factors, and because of the various interest of land use change, many stakeholders aim to derive interest from this process in urban land developments. Accordingly, this paper aims to apply the communicative planning framework in identifying and explaining the factors affecting the distribution of land use change interests, because communicative planning as one of the major urban planning theories has focused on proper distribution of interests among stakeholders. In this study, after formulating the study results from theoretical studies, using a quantitative approach and exploratory factor analysis technique, the factors affecting the distribution of land use change interests have been identified and explained based on Approvals of the Commission Article 5 of the Ahvaz City (as one of the official references to land use change in the urban planning system). The results show that 9 factors with cumulative variance of 70/851% provide a proper explanation of user change interests distribution, among which "mediation legitimacy of planners and decision makers" has the most effect. Of course, the quality of these factors with 42.31% of the land quality shows the distribution of land use interests among the stakeholders was not very appropriate, which can lead to interest conflicts, especially between groups with economical-political interests and the public interest, and thus cause social instability in Ahvaz city.

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Analysis of land use change in Nazlou district of Urmia in the 2005-2018 time series
Abstract Population growth, increased prosperity, the spread of technology, and the improper use of land have in recent decades imposed many changes on land. Nazlou district in Urmia city has been exposed to many changes due to its favorable natural conditions, location in the development paths of Urmia-Cir and Urmia-Bazargan, establishment of numerous industrial estates and so on. So planning to manage these changes requires studying land use changes. The purpose of this study was to detect land use changes in Nazlou district in Urmia city using Landsat TM and OLI satellite images by Object Oriented Classification. Also, two methods of change detection and change intensity index in land use change monitoring were used to investigate the severity and trend of land use changes. This study was descriptive and analytical and data collection was done by documentary method. The survey showed that during the study period (2005-2018) of the total area of ​​77498.37 hectares, the total area under study was approximately 25981.56 ha (33.52%). The highest level of change in 2005 relates to the level of the horticulture, with its downward trend in 2018. In contrast, changes in rangeland and dryland land use have an increasing trend, respectively.
 

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This article was written with the aim of revealing land use changes in Urmia city using remote sensing of Landsat satellite images for 4 periods of 8 years between 1990 and 2019. For this purpose, two categories of data will be used in this research. The first category includes data obtained from satellite images and the second category includes ground data taken from Urmia ground station, which includes temperature and other parameters used in this research. The results showed that urban land use in Urmia city has faced significant changes during the statistical period of 30 years. This user has had an increasing trend during all the studied periods, so that during the study period, it has faced a 5-fold increase. Swampy areas and sludge fields east of Lake Urmia have undergone a significant decline during 1990-2019 and has reached less than 6,000 hectares. The citychr('39')s barren lands, which cover a small percentage of the citychr('39')s area, have been declining over the 30-year period under review. The use of gardens has increased during all periods, so that in 2019, its area has reached more than 20,000 hectares. The use of irrigated agriculture has increased during all the studied periods and its area has reached more than 80,000 hectares by 2019. The area of ​​rainfed agricultural lands, after the rangelands, is the widest land use in Urmia, but with a relatively gentle slope has a decreasing trend. Water areas have also been declining, so that in 2019, it has decreased by about 26% compared to 2012. Rangelands, which is the largest land cover in Urmia city, has gone through three different processes during the study period. From 1990 to 1998, these lands did not change significantly, but from 1998 to 2005, the increasing trend and in 2019, with a 10% decrease compared to 2012, reached its lowest area during the statistical period under study, ie less than 20,000 hectares.

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Today, urban and rural planning and management programs need to obtain accurate spatial information at successive times about land use changes. The main purpose of this study is to study and evaluate land use changes due to physical development with respect to 4 land uses in Bayer, agricultural lands, water zones and man-made lands in Pakdasht. Data were collected through Landsat satellite images from 2019 and 1989 captured by OLI and MSS5 sensors with a resolution of 30 m, which transformed Landsat 8 and 7 satellite images to 15 m in ENVI 5.3 software. These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. Fragstats software was then used to extract land cover metrics at two levels of the classroom and the simulator. A total of 15 landslides were quantified in the years 1989 to 2019 (1368-1688). According to the results, the area of ​​residential land has increased during the years under study so that its share has increased from %7.1 in the region to %19.5.


 

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The occurrence of earthquakes and the losses and damages caused by it have always imposed a serious threat to the city, residents and assets, so that it has made planners and city managers to provide logical and scientific solutions to make cities safer. Securing cities against earthquakes will not be achieved only by creating strong structures, and we must take steps to reduce urban vulnerability through optimizing urban land use. The purpose of this study is to determine the optimal urban areas for the development of the city with the aim of reducing the vulnerability of Sanandaj. For this purpose, KNN method has been used as a model with relatively high accuracy to evaluate the optimal land use of Sanandaj city with an emphasis on earthquake risk. The obtained model output shows that about 32% of the city area is in optimal condition and district 2 with 42.78% equivalent to 406 hectares and district 4 with 50.85% equivalent to 658 hectares provide an optimal condition for the development of the city, towards reducing urban vulnerability and increasing urban land use optimization. The general condition of the city is not suitable in terms of optimality and the neighborhoods located in districts 1 and 2 are in a very inappropriate condition due to high population and residential density, very poor permeability and low adaptation of land uses. In evaluating the model, the value of the area below the curve is 0.951, which indicates the desirable performance of the model in examining the subject. 

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